Ju
Juicebox AI (YC S22), a hiring tool powered by GPT
Hacker NewsJuicebox AI (YC S22), a hiring tool powered by GPT
Hey HN, We are experimenting with GPT-3.5 and applied it to hiring, helping with: resume summaries, interview questions, offer emails, and more. See it in action: ai.juicebox.work (works best on Chrome). It’s free to use! We are continuing to fine-tune the models and improve the quality of output. Feedback is appreciated, and happy to answer any questions :)
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2points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, email · Missing: mac, agents, macos87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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